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Update steps to allow filenames for PAYERN station

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This commit is contained in:
florez_j
2025-04-08 21:26:01 +02:00
parent 3dfed2c5f3
commit 881209bf82
2 changed files with 5 additions and 5 deletions
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4
pipelines/steps/apply_calibration_factors.py
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@ -210,8 +210,8 @@ def main(data_file, calibration_file):
dataManager.extract_and_load_dataset_metadata() dataManager.extract_and_load_dataset_metadata()
dataset_metadata_df = dataManager.dataset_metadata_df.copy() dataset_metadata_df = dataManager.dataset_metadata_df.copy()
STATION = load_project_yaml_files(projectPath,'campaignDescriptor.yaml')['station']
keywords = ['ACSM_TOFWARE/', 'ACSM_JFJ_', '_timeseries.txt/data_table'] keywords = ['ACSM_TOFWARE/', f'ACSM_{STATION}_', '_timeseries.txt/data_table']
find_keyword = [all(keyword in item for keyword in keywords) for item in dataset_metadata_df['dataset_name']] find_keyword = [all(keyword in item for keyword in keywords) for item in dataset_metadata_df['dataset_name']]
if sum(find_keyword) != 1: if sum(find_keyword) != 1:

6
pipelines/steps/generate_flags.py
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@ -238,14 +238,14 @@ def main(data_file, flag_type):
dataManager.extract_and_load_dataset_metadata() dataManager.extract_and_load_dataset_metadata()
dataset_metadata_df = dataManager.dataset_metadata_df.copy() dataset_metadata_df = dataManager.dataset_metadata_df.copy()
STATION = load_project_yaml_files(projectPath,'campaignDescriptor.yaml')['station']
# Find dataset associated with diagnostic channels # Find dataset associated with diagnostic channels
if flag_type == 'diagnostics': if flag_type == 'diagnostics':
keywords = ['ACSM_JFJ_','_meta.txt/data_table'] keywords = [f'ACSM_{STATION}_','_meta.txt/data_table']
find_keyword = [all(keyword in item for keyword in keywords) for item in dataset_metadata_df['dataset_name']] find_keyword = [all(keyword in item for keyword in keywords) for item in dataset_metadata_df['dataset_name']]
if flag_type == 'species': if flag_type == 'species':
keywords = ['ACSM_JFJ_','_timeseries.txt/data_table'] keywords = [f'ACSM_{STATION}_','_timeseries.txt/data_table']
find_keyword = [all(keyword in item for keyword in keywords) for item in dataset_metadata_df['dataset_name']] find_keyword = [all(keyword in item for keyword in keywords) for item in dataset_metadata_df['dataset_name']]
# Specify source dataset to be extracted from input hdf5 data file # Specify source dataset to be extracted from input hdf5 data file